Researchers at DZNE and the Department of Vascular Neurology at the University Hospital Bonn (UKB) aim to develop a computer ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

A novel screening approach developed by physicians at the Lewis Katz School of Medicine at Temple University shows ...

In this review, we provide a contemporary overview of the pre‐ and perioperative cardiovascular evaluation of patients with ESRD who are considered suitable candidates for renal transplantation. In ...

A relevant proportion of patients with suspected coronary artery disease undergo invasive coronary angiography showing normal or nonobstructive coronary arteries. However, the prevalence of coronary ...

Abstract: This study aimed to predict Coronary Heart Disease (CHD) mortality over a 10 to 15 ... features identified through mutual information, several ML algorithms, including LR, SVM, KNN, ETC, and ...

54. Tourmaline Bio said Tuesday that its experimental antibody treatment demonstrated deep reductions in a measure of inflammation often tied to heart disease, although a high placebo response in ...

The EURO-D 12-item scale assessed depression. Moderate-intensity and vigorous-intensity PA and heart disease diagnoses were self-reported. We classified participants into the following four groups: (1 ...

Abstract: Now a days, Heart Disease had became ... machine learning algorithms i.e, Support Vector Machine (SVM), Decision tree, Naive Bayes, Logistic Regression, Random forest and also K-Nearest ...

“Our study shows the potential utility of AI-ECG algorithms as a relatively low cost and scalable tool for screening for heart disease including heart failure in at-risk populations in resource- ...